Relevant bibliographies by topics / Crowdsourced last mile delivery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Crowdsourced last mile delivery'

Author: Grafiati
Published: 10 December 2024
Last updated: 31 July 2025

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Journal articles on the topic "Crowdsourced last mile delivery"

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Ghaderi, Hadi, Lele Zhang, Pei-Wei Tsai, and Jihoon Woo. "Crowdsourced last-mile delivery with parcel lockers." International Journal of Production Economics 251 (September 2022): 108549. http://dx.doi.org/10.1016/j.ijpe.2022.108549.

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Pan, Yan, Shining Li, Qianwu Chen, et al. "Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1–23. http://dx.doi.org/10.1145/3448079.

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Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destinati
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Wang, Weichen. "Crowdsourced Logistics: A Review of Research." Frontiers in Business, Economics and Management 14, no. 2 (2024): 51–54. http://dx.doi.org/10.54097/am20rf79.

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Crowdsourced logistics is a logistics mode developed under the backdrop of the "Internet+" era. In this mode, companies delegate the logistics and distribution tasks, originally performed by employed personnel, to the idle workforce in society. This approach helps companies alleviate the last-mile delivery issue, reduce costs, and facilitate the reallocation of social resources, attracting considerable attention from scholars. This paper provides a brief overview of the research in the field of crowdsourced logistics, summarizing four major research directions and related research findings. It
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Dupljanin, D., M. Mirkovic, S. Dumnic, D. Culibrk, S. Milisavljevic, and D. Sarac. "Urban Crowdsourced Last Mile Delivery: Mode of Transport Effects on Fleet Performance." International Journal of Simulation Modelling 18, no. 3 (2019): 441–52. http://dx.doi.org/10.2507/ijsimm18(3)481.

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Elmay, Feruz, Maha Kadadha, Rabeb Mizouni, Shakti Singh, Hadi Otrok, and Azzam Mourad. "Digital twins and dynamic NFTs for blockchain-based crowdsourced last-mile delivery." Information Processing & Management 61, no. 4 (2024): 103756. http://dx.doi.org/10.1016/j.ipm.2024.103756.

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Dunno, Kyle, and Purushottam Chavan. "Measurement and Analysis of Crowdsourced Vehicle Vibration Levels during Last Mile Delivery Segments for Parcel Shipments." Vibration 5, no. 4 (2022): 792–802. http://dx.doi.org/10.3390/vibration5040046.

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Crowdsourced logistics has emerged as a delivery channel for many single-parcel packages. As a result, this logistics network has introduced personal passenger vehicles as a means to transport parcels during last mile delivery segments. To understand this network’s vibration levels and cargo capacity restraints, four vehicle types (a sedan, sports sedan, compact SUV and full-size SUV) commonly used in crowdsourced logistics deliveries were selected for measurement and analysis. This study shows that the vibration levels were significantly higher in the vertical axis and that the overall vibrat
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Odeh, Esraa, Shakti Singh, Rabeb Mizouni, and Hadi Otrok. "Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery." Information Processing & Management 62, no. 1 (2025): 103888. http://dx.doi.org/10.1016/j.ipm.2024.103888.

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Wang, Li, Min Xu, and Hu Qin. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery." Transportation Research Part B: Methodological 171 (May 2023): 111–35. http://dx.doi.org/10.1016/j.trb.2023.03.007.

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Saleh, Zead, Ahmad Baubaid, Ahmad Al Hanbali, and Mohammed Alromema. "Comparing Reinforcement Learning Algorithms for Online Couriers Scheduling in Crowdsourced Last-Mile Delivery." Transportation Research Procedia 84 (2025): 121–28. https://doi.org/10.1016/j.trpro.2025.03.054.

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Makafui, Rosemary Agboyi. "Supply Chain Collaboration, Last Mile Delivery Performance and Customer Experience: An Analysis of the Boundary Condition of Supply Chain Integrity." International Journal of Supply Chain and Logistics 9, no. 1 (2025): 21–44. https://doi.org/10.47941/ijscl.2447.

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Purpose: The primary objective of this study is to comprehensively examine the relationship between supply chain collaboration and customer experience in the Ghanaian delivery services market. Methodology: The research employs a survey, quantitative, descriptive, and positivist approach as a research strategy. Convenience and purposive sampling techniques were used to obtain a sample size of 400. The study employed primary data gathered with questionnaires as the data collection tool. A total of 450 questionnaires were sent to senior managers in the manufacturing and service industries in Ghan
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Dissertations / Theses on the topic "Crowdsourced last mile delivery"

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Piyasena, Nipuni Bhagya. "Exploring the barriers and identifying strategies for express courier services in implementing crowdsourced last mile delivery: A study based on the express courier industry in Sri Lanka." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2852.

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With the rise of the gig economy, crowdsourcing has gained traction in many industries. This study examines the untapped potential of crowdsourced last mile delivery (CSLMD) in the express courier industry. Crowdsourcing is a critical facet given the rising demand for cost-effective, efficient, and sustainable last mile delivery (LMD) solutions. The escalating costs associated with LMD increase the imperative for effective management. As an evolving solution, crowdsourcing has found acceptance among various LMD stakeholders, notably in e-commerce; however, the same cannot be said for the expre
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Ursulian, Alexander-Albert, and Олександр-Альберт Ігорович Урсулян. "Last mile delivery by drones." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50554.

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1. Organization for economic co-operation and development (OECD), Delivering The Goods: 21st Century Challenges to Urban Goods Transport, 2003, p. 7-17, Available at: https://www.itf-oecd.org/sites/default/files/docs/03deliveringgoods.pdf 2. Hassanalian, M., & Abdelkefi, A. (2017). Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Science, p. 91. Available at: https://doi.org/10.1016/j.paerosci.2017.04.003 3. Goodchild, A., & Toy, J. (2017). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2emissions in the de
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Болдирєва, Марина Олегівна, and Maryna Olehivna Boldyrieva. "Methods of last mile delivery optimization." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50769.

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1. Research «Last Link: Quantifying the Cost», Cushman & Wakefield. URL: https://www.cushmanwakefield.com.ua/ru/poslednee-zveno] 2. Интернет вещей в логистике: совместный отчет DHL и Cisco 2015. URL: https://json.tv/tech_trend_find/internet-veschey-v-logistike-sovmestnyy-otchet-dhl-i-cisco-20160511113055] 3. Скаков Р., Левкин Г. «Последняя миля» как точка оптимизации при мультимодальных перевозках. Grebennikov Publishing House in Logistics Today, 2020, Volume 1, pp 20-26<br>The greatest problem and at the same time the key to success is how the supply chain is replenished with goods and pass
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Hylander, Ruiz Gustavo. "Sustainable delivery vehicle for last mile delivery services." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17714.

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Pollution levels in urban areas continue to rise, with transportation being the number one cause. As cities ban fossil fuel cars access to the city center, this project looks at the delivery of packgaes from internet purchases. A three-wheeled, human-powered and electrically assisted vehicle is designed. This vehicle is dsigned to work together with last-mile logistics. A scientific design process was carried out to define the stakeholders, competition and requirements of the project, among others.The results yielded a semi-finished vehicle, comprising of the frame, general design, FEA analysi
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Lal, Das Jinto, and Victor Dogbeda Fianu. "Last Mile Delivery Dilemma in E-Commerce." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75293.

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E-commerce has been growing in Sweden over the years. It has not only contributed to economy, but also has shaped people’s way of living, especially with the service of home delivery. Consumers enjoy the various choices of products with reasonable prices and the convenience of receiving parcels with a single click on the mouse or by using their phones. Meanwhile, the problem of not-at-home and repeated delivery have caused trouble for both consumers and logistic service providers leading to an increase in delivery cost. Therefore, it takes a lot of cooperation and innovations to come up with s
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Voccia, Stacy Ann. "Stochastic last-mile delivery problems with time constraints." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1924.

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When a package is shipped, the customer often requires the delivery to be made within a particular time window or by a deadline. However, meeting such time requirements is difficult, and delivery companies may not always know ahead of time which customers will need a delivery. In this thesis, we present models and solution approaches for two stochastic last-mile delivery problems in which customers have delivery time constraints and customer presence is known in advance only according to a probability distribution. Our solutions can help reduce the operational costs of delivery while improving
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Veldman, Ronald. "Light electric freight vehicles in last-mile delivery." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122252.

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Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 56-67).<br>In previous decades the postal sector experienced drastic changes. Liberalization and digitization resulted in a continuous mail market decline. Simultaneously the rise of Internet resulted in a booming e-commerce parcel delivery market. To cope with these ongoing market developments Postal Operators (POs) need to rigorously restructure their delivery networks frequently in orde
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Arouk, Sabah, and Murtadha Al-Shammari. "SMEs Last Mile Delivery Practices in Sweden : An explanatory study of the environmental aspects of last mile delivery for e-tailers." Thesis, Jönköping University, JTH, Logistik och verksamhetsledning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53946.

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Unquestionably the COVID-19 pandemic has helped to accelerate the transition from store-based to internet-based retailing. Consequently, this transaction has put more pressure and challenges on online retailers to provide the best variety of options to their customers regarding the last mile delivery while at the same time maintaining a sustainable way of delivery. This paper will examine the increased number of deliveries and their impact on the environment and how the e-tailers are responding to this situation. The problem will be tackled from the companies and the customers point of view. P
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Finnman, Peter. "Applying Revenue Management to the Last Mile Delivery Industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246079.

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The understanding of what motivates a customer to pay more for a product or service has al-ways been a fundamental question in business. To the end of answering this question, revenue management is a business practice that revolves around using analytics to predict consumer behavior and willingness-to-pay. It has been a common practice within the commercial airline and hospitality industries for over 30 years, allowing adopters to reach their service capacity with increased profit margins. In this thesis, we investigated the possibility to apply revenue management to the last mile delivery indu
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Merchán, Dueñas Daniel Esteban. "Transshipment networks for last-mile delivery in congested urban areas." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98637.

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Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 58-61).<br>This work develops a systemic approach for enabling transshipment operations in congested urban areas, based on two fundamental city logistics needs: efficient utilization of existing infrastructure and flexibility for logistics operators. Specifically, this research introduces the concept of urban transshipment networks (UTNs), a collection of strategically located urban logistics spaces, for efficient and fl
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Books on the topic "Crowdsourced last mile delivery"

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Rabie, Tamer Samah, Samira Nikaein Towfighian, Cari Clark, and Melani Camrnett. The Last Mile to Quality Service Delivery in Jordan. Washington, DC: World Bank, 2017. http://dx.doi.org/10.1596/978-1-4648-1069-5.

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AL-Hamoudy, A. FPT Last Mile: Mastering Delivery in Courier Vol I. Staten House, 2024.

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Accountability, the Last Mile on the Route to Quality Service Delivery. World Bank, Washington, DC, 2016. http://dx.doi.org/10.1596/25407.

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Hong, Seo Yeon, Xiaonan Cao, and Mupuwaliywa Mupuwaliywa. Zambia: Can Financial Incentives Improve the Last-Mile Delivery of Textbooks? World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/34216.

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Delivery of climate services to last mile users: challenges and opportunities for scaling. FAO; Alliance of Bioversity International/CIAT; Ministry of Natural Resources and Environment (MONRE), Lao People's Democratic Republic; Ministry of Agriculture and Forestry (MAF), Lao People's Democratic Republic;, 2022. http://dx.doi.org/10.4060/cc1929en.

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Zambia: Can Financial Incentives and Better Communication Improve the Last-Mile Delivery of Textbooks? World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/33842.

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Rabie, Tamer, Samira Nikaein Towfighian, Cari Clark, and Melani Camrnett. Last Mile to Quality Service Delivery in Jordan: Evidence from Jordanian Schools and Primary Healhcare Facilities. World Bank Publications, 2017.

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Hong, Seo Yeon, Xiaonan Cao, and Mupuwaliywa Mupuwaliywa. Impact of Financial Incentives and the Role of Information and Communication in Last-Mile Delivery of Textbooks in Zambia. World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/1813-9450-9305.

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Book chapters on the topic "Crowdsourced last mile delivery"

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Monteiro, Tiago, João Pedro Pedroso, and Ana Viana. "Last-Mile Delivery with Crowdshipping." In Handbook of Heuristics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-319-07153-4_78-1.

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Tan, Kok Choon. "An Innovation in Last-Mile Delivery." In Management for Professionals. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-673-7_4.

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Sánchez-Wells, D., L. González-R. Pedro, and L. Andrade-Pineda José. "Drones, Last Mile Delivery, and Europe." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82334-3_10.

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Trapp, Markus, Sandra Luttermann, Daniel Rippel, Herbert Kotzab, and Michael Freitag. "Modeling Individualized Sustainable Last Mile Logistics." In Dynamics in Logistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_13.

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AbstractThe online grocery trade has received an additional boost from the Covid pandemic. The delivery of such purchases places particular demands on last mile logistics since consumers demand more and more individualized delivery options, e.g., regarding the delivery arrival or the type of transport. At the same time, many consumers are becoming more environmentally conscious, so there is a need to examine further how this particular consumer behavior affects the sustainability of deliveries. This paper develops and presents a simulation model, which considers grocery delivery under differen
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Hwarng, Brian, and Motoka Mouri. "TA-Q-BIN, The Last-Mile Delivery." In Management for Professionals. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-673-7_3.

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Jana, Saswata, Giuseppe F. Italiano, Manas Jyoti Kashyop, Athanasios L. Konstantinidis, Evangelos Kosinas, and Partha Sarathi Mandal. "Online Drone Scheduling for Last-Mile Delivery." In Structural Information and Communication Complexity. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60603-8_27.

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Jazbec, Mirna Sofie, and Kristijan Rogić. "Optimizing Last-Mile Delivery: Exploring Hybrid Models." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-81777-9_3.

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Macioszek, Elżbieta. "First and Last Mile Delivery – Problems and Issues." In Advanced Solutions of Transport Systems for Growing Mobility. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62316-0_12.

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Simić, Dragan, José Luis Calvo-Rolle, José R. Villar, Vladimir Ilin, Svetislav D. Simić, and Svetlana Simić. "An Approach of Optimisation in Last Mile Delivery." In 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42536-3_30.

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Skoufi, Evgenia, Evangelia Filiopoulou, Angelos Skoufis, and Christos Michalakelis. "Last Mile Delivery by Drone: a Technoeconomic Approach." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_3.

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Conference papers on the topic "Crowdsourced last mile delivery"

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Sujatha, M., Rajesh Kambattan Kovarasan, K. Sudha, Nilamadhab Mishra, G. Thiyagarajan, and C. Srinivasan. "Smart Last-Mile Delivery with IoT-Connected Robot Vehicles." In 2024 10th International Conference on Smart Computing and Communication (ICSCC). IEEE, 2024. http://dx.doi.org/10.1109/icscc62041.2024.10690633.

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Wang, Junbo. "Smart City Logistics: Leveraging AI for Last-Mile Delivery Efficiency." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010309.

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Zhou, Lei, Chunxiao Li, and Yuhao Li. "The joint optimization of truck-drone routes for last-mile delivery." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010317.

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Hanaa, Bouhia, and Jamal Benhra. "Mixed Electric Vehicles and UAVs for Last-Mile Delivery Under Ecological Objective." In 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE, 2024. http://dx.doi.org/10.1109/icds62089.2024.10756461.

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Al Mazrouei, Wafa, and Gyanendra Sisodia. "Investigation on Investment in Drone Technology in Last Mile Delivery in UAE." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836460.

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Gharsallaoui, Oussema, Damien Nicolas, Marie-Laure Watrinet, and Ion Turcanu. "A Co-Simulation Approach of Blockchain Connected Last-Mile Delivery Using Autonomous Robots." In 2024 6th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS). IEEE, 2024. http://dx.doi.org/10.1109/brains63024.2024.10732466.

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Zhang, Jing, Yu Zhang, Roberto Baldacci, and Jiafu Tang. "Workforce planning for last mile delivery: incorporating multi-period dynamics and postponed deliveries." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054580.

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Zhang, Wennan, Chenglin Yu, Ying Yu, Li Yin, and Ray Y. Zhong. "Deep Reinforcement Learning Enabled Model for Green Last-mile Delivery in MiC Construction." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711316.

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Chen, P., and S. M. Chankov. "Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8290097.

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Johnson, Dylan, and Emmanouil Chaniotakis. "Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529279.

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Reports on the topic "Crowdsourced last mile delivery"

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Iyer, Ananth V., Konstantina Gkritza, Steven R. Dunlop, et al. Last Mile Delivery and Route Planning for Freight. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317315.

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This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and
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Iyer, Ananth V., Konstantina Gkritza, Steven R. Dunlop, et al. Last Mile Delivery and Route Planning for Freight. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317315.

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This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and
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Muralidharan, Karthik, Paul Niehaus, Sandip Sukhtankar, and Jeffrey Weaver. Improving Last-Mile Service Delivery using Phone-Based Monitoring. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w25298.

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Farley, Toni, and Will Northrop. Connected Energy Management System to Enable Battery Electric Last-Mile Delivery Vehicles. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1844322.

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Banerjee, Abhijit, Rema Hanna, Jordan Kyle, Benjamin Olken, and Sudarno Sumarto. Contracting out the Last-Mile of Service Delivery: Subsidized Food Distribution in Indonesia. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21837.

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She, Ruifeng, and Yanfeng Ouyang. Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-014.

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This paper presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs). Four distinct modes are considered: (1) direct drone deliveries from a fixed depot; (2) drone deliveries from parked trucks that carry bulk parcels to customer neighborhoods; (3) drone deliveries from nonstopping trucks that tour customer neighborhoods; and (4) as a benchmark, traditional truck-based home deliveries. We present a new continuum-approximation approach that is used for analysis of both truck routing and aerial-UAV traffic. We c
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Scherer, Sebastian, and Constantine Samaras. Drones, Delivery Robots, Driverless Cars, and Intelligent Curbs for Increasing Energy Productivity of First/Last Mile Goods Movement. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1975829.

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Choubey, Aishwarya, Annewies Hilberink, Biju Mushahary, Christina Nyhus Dhillon, and Saroj Mohanta. Healthy Line Shops for Last-Mile Delivery: improving the supply chain to deliver more nutritious food options for tea plantation workers of Assam. Global Alliance for Improved Nutrition (GAIN), 2023. http://dx.doi.org/10.36072/wp.33.

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Kramer, Berber, Carol Waweru, Lilian Waithaka, et al. A new model for inclusive seed delivery: Lessons from a pilot study in Kenya: Leveraging champion farmers’ entrepreneurial know-how to reach the last mile. International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134491.

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Hartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1952.

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Abstract:
Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood
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